AI for Status Monitoring of Utility Scale Batteries
by Shunli Wang, Kailong Liu, Yujie Wang, Daniel-Ioan Stroe, Carlos Fernandez and Josep M. Guerrero
The Institution of Engineering and Technology, 2022
Cloth: 978-1-83953-738-7 | eISBN: 978-1-83724-508-6 (ePub) | eISBN: 978-1-83953-739-4 (PDF)
Library of Congress Classification TK2945.L58W34 2022
Dewey Decimal Classification 621.312424
ABOUT THIS BOOK
Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries.
See other books on: Alternative & Renewable | Artificial intelligence | Guerrero, Josep M. | Power Resources | Wang, Shunli
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